Fabric Foundations: Build Scalable and AI-Driven Data Solutions

Modern data ecosystems are often fragmented, requiring complex integrations across multiple storage, engineering, and analytics tools. Fabric solves this by uniting data warehousing, engineering, and business intelligence into a single, cohesive SaaS platform. This text-only course helps you transition from a beginner to a confident data practitioner capable of navigating this unified environment. Through clear written explanations and practical step-by-step examples, you will learn how to centralize your data assets, build scalable pipelines, and leverage built-in AI capabilities to drive real business insights. What you'll learn: - Understand the core architecture of Fabric, including OneLake and unified storage concepts. - Configure data integration pipelines and dataflows to ingest data from diverse sources. - Apply data engineering workflows using Lakehouses, Warehouses, and Spark notebooks. - Explore real-time analytics and business intelligence integration using Power BI. - Implement basic security, governance, and sharing settings to protect sensitive data assets. - Discover how to leverage AI-driven insights and modern copilot features within the platform. The course begins with key terminology, basic concepts, and foundational definitions of unified data platforms before moving into practical scenarios. You will progress through written walkthroughs, analyzing structured and unstructured data, building pipelines, and exploring real-world analytics workflows. This course is designed for beginner data analysts, database administrators, and aspiring data engineers. No prior experience with Fabric is required, and all concepts are explained from the ground up. Start reading today to simplify your data operations and unlock the power of unified analytics.